The data and AI platform sector right now is two stories at once. Story one: Databricks crossing US$5.4B run-rate with 65% growth, surpassing Snowflake on revenue, valued at $134B and IPO-ready. Story two: every Databricks customer is in the middle of a generational transition off Teradata, SAS, Oracle Exadata, and Microsoft on-premise stacks — and they need someone embedded with them to actually do the work, not someone selling them software. The Forward Deployed Engineer is the lever.
Information security obligations for APRA-regulated entities (banks, insurers, super funds). Includes a 72-hour breach notification requirement. Every Databricks build at NAB / Macquarie / Westpac NZ is shaped by it.
Operational risk management. Forces explicit attention to third-party / cloud dependencies, business continuity, and material service provider relationships. Drives data residency and exit-plan questions for Databricks engagements.
The Australian privacy framework, with 2024–2026 reform tranches expanding obligations. AI-specific accountability for "automated decision-making" matters for any FDE building credit scoring, hiring, or healthcare AI.
Security of Critical Infrastructure Act. Twelve sectors including data storage and processing. Cyber incident reporting obligations and government information-gathering powers for critical-infrastructure operators.
Open banking and energy-sector data sharing rules. Every CDR participant is a Databricks customer-shaped problem: data lineage, consent management, secure cross-org sharing.
Healthcare data and Australian Government IRAP-protected information. Both push customer engagements toward sovereign-cloud architectures (Databricks on AUCloud or in-region Azure / AWS) and audit-ready governance.